Quantitative Researcher

Qnance Technologies LLP; Dadri; Sur place; INR 1 200 000 - 2 300 000; Plein temps

Résumé du poste

Quance Research Capital LLP is seeking an experienced Quantitative Researcher to design and test automated trading strategies using market data from multiple exchanges. You will develop robust models in Python, R and C++, and translate insights into production-ready code.

The ideal candidate has a quantitative degree (Bachelor’s or higher) and at least two years in HFT/Algo environments. You will apply probability, statistics, ML, and time-series methods, work on Linux, backtest strategies for

Qualifications

• Graduate degree in a quantitative field (stats, CS, math, OR).
• Min 2 years of experience, preferably from HFT/Algo firm.
• Strong knowledge of probability and statistics; ML, time-series, NLP.
• Proficient in Python or R and C++.
• Working knowledge of Linux; data-driven research background.

Responsabilités

• Design high-frequency trading strategies using market data.
• Develop and improve mathematical models and translate to code.
• Model large data sets with Python, R, and C++ to find patterns.
• Study market microstructure to build predictive signals.
• Backtest strategies for latency and PnL metrics.
• Develop reports and monitor trading signals.

Connaissances

Quantitative programming

Python or R

Machine Learning

Time-series analysis

Statistics

Data analysis

Problem solving

Formation

Bachelor’s or higher in quantitative field

Outils

C++

Python

R

Linux

Description du poste

Location: Noida/Bangalore, India

Quance Research Capital LLP is a quantitative trading firm that is steering financial markets with advanced technologies. We are looking to hire experienced “Quantitative Researcher” to work with us. The candidate will be responsible for developing and testing automated quant trading strategies using sophisticated statistical techniques. We are seeking talent from the top IIT’s to join us as Quantitative Researchers for our team.

Role And Responsibilities

• Designing high frequency trading strategies – you will have access to market data from various exchanges across the world. We expect you to analyze the data, find patterns and explore inefficiencies in the market and come up with algorithms that capitalize on such opportunities. Such opportunities exist only for a (small) fraction of a second and hence the algorithm must be very efficient.
• Conceptualize strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
• Modelling gigabytes of data to analyze, find pattern and test gigabytes of data every day from various exchanges via Python or R and C++ to ascertain micro behavioral patterns.
• Explore Market Microstructure to find trading signals and opportunities: We expect you to study market data and build predictive models. Such models explore order flow which is an essential part of market microstructure study.
• Help in improving existing trading strategies: We are already running a few strategies in exchanges and other trading venues across the world. We expect you to help the desk in improving these existing strategies.
• Back test and implement trading models and signals in a live trading environment. We expect you to back test your idea for latency, PnL and other metrics.
• Conduct research and statistical analysis to build and refine monetization systems for trading signals.
• Trading a vast portfolio.
• Developing business critical reports.

Skill Required

The role suits a self-motivated, highly energetic individual who has a strong background in coding and a keen interest in both financial markets and commodities. Other requirements are:

• Deep quantitative/programming background with a graduate degree (Bachelor’s, Master’s, PhD degree) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, Economics, or another highly quantitative field.
• Minimum 2 years of experience required, preferably from high Frequency Trading (HFT)/ Algo firm.
• Strong knowledge of probability and statistics (e.g. Machine learning, time-series analysis, pattern recognition, NLP). Must be conversant with either Python or R and C++.
• Proficient in Data science, machine learning and overall market microstructure.
• Working knowledge of Linux will be preferred.
• Prior experience of trading is an advantage but not necessary.
• Prior experience working in a data driven research environment.
• Strong interest in Machine Learning / AI Techniques.
• If you have expertise and experience in ML based systems and have interest in the markets and trading, we encourage you to apply.
• Excellent analytical skills, with strong attention to detail and ability to reach solutions. Ability to work under pressure, with minimal supervision, and in a team environment.